Identifying vulnerabilities of state estimators against cyber-attacks
Identifying vulnerabilities of state estimators against cyber-attacks
复制标题
识别状态估计器针对网络攻击的漏洞
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
A. Abur
中科院分区：
文献类型：
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作者：
M. Gol;A. Abur
状态估计在电力系统和相关电力市场的运行中具有重要作用。众所周知，状态估计器容易受到任何现有的关键测量，因为它们的错误不能被检测到。因此，通过操纵有限数量的关键测量，黑客可以在不被检测到的情况下偏置状态估计的结果。这些有偏差的结果包括系统状态（母线电压幅值和角度）和通过使用系统状态计算的分支流。这项工作调查了通过战略性地操纵关键测量进行的网络攻击，并提出了一种方法来识别易受这些网络攻击的估计流量集。所提出的方法将被描述和模拟将被提出来验证该方法。本文认为，电力系统的测量是由一组混合的测量，即潮流，注入和电压幅值测量，以及相量测量提供的相量测量单元（PMU）。
State estimation has an important role in the operation of power systems and associated power markets. It is well known that state estimators are vulnerable to any existing critical measurements since their errors cannot be detected. Therefore, by manipulating a finite number of critical measurements, a hacker can bias the results of state estimation without being detected. Those biased results include both system states (bus voltage magnitudes and angles) and branch flows that are calculated by using the system states. This work investigates the cyber-attacks carried out by strategically manipulating critical measurements and proposes a method to identify the set of estimated flows that are vulnerable to those cyber-attacks. The proposed method will be described and simulations will be presented to validate the method. The paper considers power systems that are measured by a mixed set of measurements, namely power flow, injection and voltage magnitude measurements, as well as phasor measurements provided by the phasor measurement units (PMUs).